Robust Monetary Policy
While there is uncertainty about the data that enter into economic models and about the parameters that govern economic models, the fact that economists often approach macroeconomic data armed with different models of the economy suggests that uncertainty, or ambiguity, about the model could also be potentially important. A policy can be made “robust” to model uncertainty by designing it to perform well on average across all of the available fully specified models rather than to reign supreme in any particular model. In this paper we compare the implications of robust monetary policy versus non robust monetary policy for a model based on a new Keynesian model with two equations that represent the dynamics of inflation and the dynamics of the output gap. Using Matlab, we are able to approximate the solution to the linear–quadratic problem associated with the estimated model, thus obtaining the optimal monetary policy decision.
Volume (Year): 2 (2008)
Issue (Month): 2 (November)
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- Leitemo, Kai & Söderström, Ulf, 2008.
"Robust Monetary Policy In The New Keynesian Framework,"
Cambridge University Press, vol. 12(S1), pages 126-135, April.
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SSE/EFI Working Paper Series in Economics and Finance
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"Methods for Robust Control,"
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5638, C.E.P.R. Discussion Papers.
- Richard Dennis & Kai Leitemo & Ulf Soderstrom, 2006. "Methods for Robust Control," Working Papers 307, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Richard Dennis & Kai Leitemo & Ulf Soderstrom, 2006. "Methods for Robust Control," 2006 Meeting Papers 493, Society for Economic Dynamics.
- Richard Dennis & Kai Leitemo & Ulf Söderström, 2006. "Methods for robust control," Working Paper Series 2006-10, Federal Reserve Bank of San Francisco.
- Thomas J. Sargent & LarsPeter Hansen, 2001. "Robust Control and Model Uncertainty," American Economic Review, American Economic Association, vol. 91(2), pages 60-66, May.
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